Let's explore datasets

Explore input dataset

Will use target dataset Bitcoin in Cryptocurrency Historical Prices

Bitcoin data at 1-day intervals from April 28, 2013

Will explore full input dataset

Feature evalution over time

Will take only last 4 years, because they mostly interesting

Check depenence of trading and price from date in year and time of day

Firstly define function for display frequiency

Frequency of price

Frequency of transaction volume

Compare train and test datasets

Training data exploration

Testing data exploration

Normalise data

Will use only training mean and deviation for not give NN access to test dataset

Subtract the mean and divide by the standard deviation of each feature will give required normalisation

Check window generator

Try baseline model

Try plot model

Explore training metrics